{"id":917457,"date":"2023-02-07T08:54:52","date_gmt":"2023-02-07T16:54:52","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/"},"modified":"2023-03-16T06:59:27","modified_gmt":"2023-03-16T13:59:27","slug":"investigating-in-situ-personal-health-data-queries-on-smartwatches","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/investigating-in-situ-personal-health-data-queries-on-smartwatches\/","title":{"rendered":"Investigating In-Situ Personal Health Data Queries on Smartwatches"},"content":{"rendered":"<div>\n<div>Smartwatches enable not only the continuous collection of but also ubiquitous access to personal health data. However, exploring this data in-situ on a smartwatch is often reserved for singular and generic metrics, without the capacity for further insight. To address our limited knowledge surrounding smartwatch data exploration needs, we collect and characterize desired personal health data queries from smartwatch users. We conducted a week-long study (<em>N<\/em> = 18), providing participants with an application for recording responses that contain their query and current activity related information, throughout their daily lives. From the responses, we curated a dataset of 205 natural language queries. Upon analysis, we highlight a new preemptive and proactive data insight category, an activity-based lens for data exploration, and see the desired use of a smartwatch for data exploration throughout daily life. To aid in future research and the development of smartwatch health applications, we contribute the dataset and discuss implications of our findings.<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Smartwatches enable not only the continuous collection of but also ubiquitous access to personal health data. However, exploring this data in-situ on a smartwatch is often reserved for singular and generic metrics, without the capacity for further insight. To address our limited knowledge surrounding smartwatch data exploration needs, we collect and characterize desired personal health [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13554],"msr-publication-type":[193715],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-917457","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-human-computer-interaction","msr-locale-en_us"],"msr_publishername":"","msr_edition":"","msr_affiliation":"","msr_published_date":"2023-1-11","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"","msr_pages_string":"","msr_chapter":"","msr_isbn":"","msr_journal":"Proc. ACM Interactive Mobile Wearable and Ubiquitous Technologies (UbiComp 2023)","msr_volume":"6","msr_number":"","msr_editors":"","msr_series":"","msr_issue":"4","msr_organization":"","msr_how_published":"","msr_notes":"","msr_highlight_text":"","msr_release_tracker_id":"","msr_original_fields_of_study":"","msr_download_urls":"","msr_external_url":"","msr_secondary_video_url":"","msr_longbiography":"","msr_microsoftintellectualproperty":0,"msr_main_download":"","msr_publicationurl":"","msr_doi":"","msr_publication_uploader":[{"type":"file","viewUrl":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2023\/02\/PHDQueriesOnSmartwatches-UbiComp2023.pdf","id":"917463","title":"phdqueriesonsmartwatches-ubicomp2023","label_id":"243109","label":0}],"msr_related_uploader":"","msr_attachments":[{"id":917463,"url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2023\/02\/PHDQueriesOnSmartwatches-UbiComp2023.pdf"}],"msr-author-ordering":[{"type":"text","value":"Bradley Rey","user_id":0,"rest_url":false},{"type":"user_nicename","value":"Bongshin Lee","user_id":31276,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Bongshin Lee"},{"type":"guest","value":"eun-kyoung-choe","user_id":365921,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=eun-kyoung-choe"},{"type":"text","value":"Pourang Irani","user_id":0,"rest_url":false}],"msr_impact_theme":[],"msr_research_lab":[199565],"msr_event":[],"msr_group":[371909,379814],"msr_project":[365810],"publication":[],"video":[],"download":[],"msr_publication_type":"article","related_content":{"projects":[{"ID":365810,"post_title":"Human-Data Interaction for Self-Monitoring","post_name":"human-data-interaction","post_type":"msr-project","post_date":"2017-02-24 09:52:42","post_modified":"2023-02-07 09:16:18","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/human-data-interaction\/","post_excerpt":"Empowering people to improve their lives by fully leveraging the data about themselves &nbsp; In recent years, we have witnessed rapid advancements in consumer health technologies. People are also increasingly tracking personal health data outside the clinic using wearable sensing devices and mobile health applications. For example, we have observed the rise of the Quantified Self (QS) movement, which aims to improve health, maximize work performance, and find new life experiences through self-tracking. 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